Model Anatomy See what's inside open-weight AI models

Can I run Youtu-Parsing-Omni on an RTX 5070?

Probably, at 4-bit

The published weights are too big, but a 4-bit version (about 3.00 GB) would fit, with room for ≈ 165K tokens of context. The site hasn't analyzed a GGUF of Youtu-Parsing-Omni yet.

Full analysis of Youtu-Parsing-Omni Everything that runs on RTX 5070

Files and context on RTX 5070

Each file of Youtu-Parsing-Omni (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

FileSizeOn RTX 5070 Context (16-bit)Context (8-bit)
As published10.7 GBDoesn't fit3K6K
4-bit (estimate)3.00 GBFits165K331K

Youtu-Parsing-Omni on other hardware

Popular models that run on RTX 5070

Assumes 90% of the card's memory is usable and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.